scholarly journals An Easy-to-Integrate IP Design of AHB Slave Bus Interface for the Security Chip of IoT

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Conggui Yuan ◽  
Xin Zheng ◽  
Bo Rao ◽  
Shuting Cai
Keyword(s):  
High Performance ◽  
Random Number Generator ◽  
Control Logic ◽  
Iot Security ◽  
Interface Control ◽  
Important Means ◽  
Security Module ◽  
Iot Devices ◽  
On Chip ◽  
The Internet Of Things

Information security is fundamental to the Internet of things (IoT) devices, in which security chip is an important means. This paper proposes an Advanced High-performance Bus Slave Control IP (AHB-SIP), which applies to cryptographic accelerators in IoT security chips. Composed by four types of function registers and AHB Interface Control Logic (AICL), AHB-SIP has a simple and easy-to-use structure. The System on Chip (SoC) design can be realized by quickly converting the nonstandard interface of the security module to the AHB slave interface. AHB-SIP is applied to the security accelerators of SM2, SM3, and SM4 and random number generator (RNG). Combined with a low-power embedded CPU, TIMER, UART, SPI, IIC, and other communication interfaces, a configurable SoC can be integrated. Moreover, SMIC 110 nm technology is employed to tape out the SoC on a silicon chip. The area of AHB-SIP is 0.072 mm2, only occupying 6‰ of the chip (3.45 ∗ 3.45 mm2), and the power consumption of encryption modules combined with AHB-SIP is lower than that combined with AXI interface, which is decreased up to 61.0% and is ideal for the application of IoT.

scholarly journals A Novel Chip-Level Blockchain Security Solution for the Internet of Things Networks

Technologies ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 28 ◽  
Author(s):  
Hiroshi Watanabe ◽  
Howie Fan
Keyword(s):  
Internet Of Things ◽  
Computer Network ◽  
Random Access ◽  
Base Stations ◽  
Access Memory ◽  
Vast Number ◽  
Iot Security ◽  
Iot Devices ◽  
On Chip ◽  
The Internet Of Things

The widespread computer network has been changing drastically and substantially since blockchain and IoT entered the stage. Blockchain is good at protecting data transactions between logical nodes with a desirable guaranty. Internet of Things (IoT), on the other hand, by providing ultimate convenience to consumers, is expected to give rise to many various merits in a broad business scene. The security of IoT is still an open problem and if blockchain can reinforce IoT security, as many authors have hoped in recent papers, these newcomers appear to make a good collaboration to reinforce IoT security. However, software copes with logical nodes and IoT involves a vast number of physical nodes (IoT devices). Enabling blockchain to protect IoT cannot be brought to reality without respectively identifying logical and physical nodes. This is identical to the Proof-of-Trust problem. In this article, we propose a conceptual solution—Blockchained IoT—and show that this concept is able to be realized on-chip level using mass-produced dynamical random access memory (DRAM). We have completed the first test of longevity and temperature dependence (−40 °C to 105 °C) to confirm the necessary characteristics for the 5G base stations that are known to have an issue of self-heating. Furthermore, we have coarsely evaluated the probability of two DRAM IC chips being associated with an identical cyber-physical chip identification accidentally. Then, such a probability is minimal.

scholarly journals IoT Security Configurability with Security-by-Contract

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4121 ◽  
Author(s):  
Alberto Giaretta ◽  
Nicola Dragoni ◽  
Fabio Massacci
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Holistic Approach ◽  
The Internet ◽  
Iot Security ◽  
Iot Devices ◽  
Work First ◽  
The Internet Of Things

Cybersecurity is one of the biggest challenges in the Internet of Things (IoT) domain, as well as one of its most embarrassing failures. As a matter of fact, nowadays IoT devices still exhibit various shortcomings. For example, they lack secure default configurations and sufficient security configurability. They also lack rich behavioural descriptions, failing to list provided and required services. To answer this problem, we envision a future where IoT devices carry behavioural contracts and Fog nodes store network policies. One requirement is that contract consistency must be easy to prove. Moreover, contracts must be easy to verify against network policies. In this paper, we propose to combine the security-by-contract (S × C) paradigm with Fog computing to secure IoT devices. Following our previous work, first we formally define the pillars of our proposal. Then, by means of a running case study, we show that we can model communication flows and prevent information leaks. Last, we show that our contribution enables a holistic approach to IoT security, and that it can also prevent unexpected chains of events.

scholarly journals A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2985 ◽  
Author(s):  
Wencheng Yang ◽  
Song Wang ◽  
Jiankun Hu ◽  
Ahmed Ibrahim ◽  
Guanglou Zheng ◽  
...  
Keyword(s):  
Internet Of Things ◽  
User Authentication ◽  
System Security ◽  
Random Projection ◽  
Biometric Data ◽  
Iot Security ◽  
Biometric Systems ◽  
Authentication System ◽  
Iot Devices ◽  
The Internet Of Things

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique—steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.

scholarly journals Embedded LUKS (E-LUKS): A Hardware Solution to IoT Security

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3036
Author(s):  
German Cano-Quiveu ◽  
Paulino Ruiz-de-clavijo-Vazquez ◽  
Manuel J. Bellido ◽  
Jorge Juan-Chico ◽  
Julian Viejo-Cortes ◽  
...  
Keyword(s):  
Iot Security ◽  
Hardware Implementations ◽  
Encrypt Data ◽  
Wide Range ◽  
Data Files ◽  
Data Partitions ◽  
Iot Devices ◽  
Disk Encryption ◽  
The Internet Of Things ◽  
Full Disk

The Internet of Things (IoT) security is one of the most important issues developers have to face. Data tampering must be prevented in IoT devices and some or all of the confidentiality, integrity, and authenticity of sensible data files must be assured in most practical IoT applications, especially when data are stored in removable devices such as microSD cards, which is very common. Software solutions are usually applied, but their effectiveness is limited due to the reduced resources available in IoT systems. This paper introduces a hardware-based security framework for IoT devices (Embedded LUKS) similar to the Linux Unified Key Setup (LUKS) solution used in Linux systems to encrypt data partitions. Embedded LUKS (E-LUKS) extends the LUKS capabilities by adding integrity and authentication methods, in addition to the confidentiality already provided by LUKS. E-LUKS uses state-of-the-art encryption and hash algorithms such as PRESENT and SPONGENT. Both are recognized as adequate solutions for IoT devices being PRESENT incorporated in the ISO/IEC 29192-2:2019 for lightweight block ciphers. E-LUKS has been implemented in modern XC7Z020 FPGA chips, resulting in a smaller hardware footprint compared to previous LUKS hardware implementations, a footprint of about a 10% of these LUKS implementations, making E-LUKS a great alternative to provide Full Disk Encryption (FDE) alongside authentication to a wide range of IoT devices.

scholarly journals Multiple Security Certification System between Blockchain Based Terminal and Internet of Things Device: Implication for Open Innovation

2019 ◽  
Vol 5 (4) ◽  
pp. 87 ◽  
Author(s):  
Bong-Gyeol Choi ◽  
EuiSeob Jeong ◽  
Sang-Woo Kim
Keyword(s):  
Internet Of Things ◽  
Open Innovation ◽  
Security Threats ◽  
Effective Solution ◽  
Iot Security ◽  
Certification System ◽  
Blockchain Technology ◽  
Security Module ◽  
Iot Devices ◽  
User Device

As the number of Internet of Things (IoT) devices increases, services expand and illegal hacking and infringement methods become more sophisticated, an effective solution for blockchain technology is required as a fundamental solution to security threats. In this paper, we develop the security module of an IoT device based on blockchain technology that blocks hacking and information infringement and forms a multi-security blockchain system between the IoT device and the user device and we develop a user application. We contribute to addressing the security threats faced by IoT application services by developing a new method. In particular, we present some schemes for the development of a multi-security certification system based on blockchain for IoT security.

scholarly journals A Review Of The Issues And Challenges In IoT Security Using Machine Learning Techniques

2021 ◽  
Vol 9 (4) ◽  
pp. 499-502
Keyword(s):  
Machine Learning ◽  
Machine Learning Techniques ◽  
Security Threats ◽  
X Rays ◽  
Iot Security ◽  
Learning Techniques ◽  
Human Endeavor ◽  
Security Challenges ◽  
Iot Devices ◽  
The Internet Of Things

In a typical IoT network, a sensor connects to a controller using a wireless connection. Controllers collect data from sensors and sends the data for storage and analysis[1]. These controllers work with actuators that translate an electrical input to a physical action. The internet of things (IoT), have found application in different areas of human endeavor including healthcare, government, supply chain, cities, manufacturing, etc. and it is estimated that the number of connected devices will reach 50 billion by 2020[2] With the increasing number of devices comes an increase in the the varying number of security threats to the IoT network [3]. To contain these threats, a secure-by-design approach should be adopted as this will help the IoT devices to anticipate and neutralize the ever changing nature of the threats as against older systems where security was handled as it presents itself [2] This paper x-rays the security challenges in IoT networks and the application of machine learning (Supervised learning, Unsupervised learning and Reinforcement learning) in tackling the security challenges

scholarly journals Predicting Internet of Things (IOT) Security and Privacy Risks – A Proposal Model: توقع مخاطر أمن وخصوصية إنترنت الأشياء (IOT) – نموذج مقترح بحثي

2021 ◽  
Vol 5 (3) ◽  
pp. 133-112
Author(s):  
Awad Saad Al-Qahtani, Mohammad Ayoub Khan Awad Saad Al-Qahtani, Mohammad Ayoub Khan
Keyword(s):  
Internet Of Things ◽  
Security Management ◽  
Cyber Attacks ◽  
Security Requirements ◽  
Security And Privacy ◽  
The Internet ◽  
Security Risks ◽  
Iot Security ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of things (IOT) users lack awareness of IOT security infrastructure to handle the risks including Threats, attack and penetration associated with its use. IOT devices are main targets for cyber-attacks due to variable personally identifiable information (PII) stored and transmit in the cyber centers. The security risks of the Internet of Things aimed to damage user's security and privacy. All information about users can be collected from their related objects which are stored in the system or transferred through mediums among diverse smart objects and may exposed to exposed dangerous of attacks and threats if it lack authentication so there are essential need to make IOT security requirements as important part of its efficient implementation. These requirements include; availability, accountability, authentication, authorization, privacy and confidentiality, Integrity and Non-repudiation. The study design is a survey research to investigate the visibility of the proposed model of security management for IOT uses, the security risks of IOT devices, and the changes IOT technology on the IT infrastructure of IOT users through answering of the research questionnaires. This work proposes a model of security management for IOT to predict IOT security and privacy threats, protect IOT users from any unforeseen dangers, and determine the right security mechanisms and protocols for IOT security layers, as well as give the most convenient security mechanisms. Moreover, for enhancing the performance of IOT networks by selecting suitable security mechanisms for IOT layers to increase IOT user's security satisfaction.

Actors for the Internet of Things

2021 ◽  
Author(s):  
Arjun Shukla
Keyword(s):  
Message Passing ◽  
High Performance ◽  
Distributed Programming ◽  
Single Server ◽  
Actor Model ◽  
Levels Of Abstraction ◽  
Message Type ◽  
Concurrent Computation ◽  
Iot Devices ◽  
The Internet Of Things

The actor model is a model for concurrent computation, centered around message passing between entities in a system. It is well suited for distributed programming, due to its semantics including very little guarantees or assumptions of reliability. Actor model implementations have grown more widespread in many languages. The library Akka (written in Scala) is one of the most popular actor libraries. However, Akka is missing some key features. Our goal is to create our own actor library called Aurum, which not only has these features but exhibits higher performance. The new features include easy ways to forge references, configure and launch clusters, message type translations, and the ability to inject message drops and delays into every part the application. Aurum will be implemented in Rust, a programming language designed for high performance, asynchrony and high levels of abstraction that is well suited for IoT devices. Our results show that Aurum outperforms Akka. In our benchmarks, a single server running Aurum gives three times the throughput as an equivalent Akka server, while maintaining good programmability and having features useful for IoT.

scholarly journals IOT Security Challenges and Measures to Mitigate: Novel Perspectives

2018 ◽  
Vol 7 (2.7) ◽  
pp. 854
Author(s):  
Manas Kumar Yogi ◽  
Y Himatej ◽  
M Mahesh reddy
Keyword(s):  
Smart Home ◽  
Personal Data ◽  
The Internet ◽  
Iot Security ◽  
Privacy Concerns ◽  
Security Challenges ◽  
Passive Data ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

The Internet Of Things describes the ever-growing number of intelligent objects that are being connected to the internet and each other, smartphones, tablets, wearable technology and smart home devices are adopted into our everyday lives. The security of IOT is becoming more complex and may have a serious consequence. So, now we have many security challenges like privacy concerns, routine cryptography, passive data collection etc. Many people hide personal data in social media to eliminate these sort of privacy issues but common man nowadays is becoming a passive participant due to lack of security in these IOT devices that are surrounding us.

scholarly journals Hardware Implementation of Secure Lightweight Cryptographic Designs for IoT Applications

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Wajih El Hadj Youssef ◽  
Ali Abdelli ◽  
Fethi Dridi ◽  
Mohsen Machhout
Keyword(s):  
High Performance ◽  
Security Analysis ◽  
Smart Devices ◽  
Security Level ◽  
Test Results ◽  
Cryptographic Primitives ◽  
Application Deployment ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Constrained Devices

The recent expansion of the Internet of Things is creating a new world of smart devices in which security implications are very significant. Besides the claimed security level, the IoT devices are usually featured with constrained resources, such as low computation capability, low memory, and limited battery. Lightweight cryptographic primitives are proposed in the context of IoT while considering the trade-off between security guarantee and good performance. In this paper, we present optimized hardware, lightweight cryptographic designs, of 32-bit datapath, LED 64/128, SIMON 64/128, and SIMECK 64/128 algorithms, for constrained devices. Our proposed designs are investigated on Spartan-3, Spartan-6, and Zynq-7000 FPGA platforms in terms of area, speed, efficiency, and power consumption. The proposed designs achieved a high throughput up to 891.99 Mbps, 838.95 Mbps, and 210.13 Mbps for SIMECK 64/128, SIMON 64/128, and LED 64/128 on Zynq-7000, respectively. A deep comparison between our three proposed designs is elaborated on different FPGA families for adequate FPGAs-based application deployment. Test results and security analysis show that not only can our proposed designs achieve good encryption results with high performance and a low reduced cost but also they are secure enough to resist statistical attacks.

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